Dynamic Control Scheme of Multiswarm Persistent Surveillance in a Changing Environment
Joint Authors
Zhou, Xin
Wang, Tao
Jing, Tian
Wang, Weiping
Li, Xiaobo
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-16
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The persistent surveillance problem has been proved to be an NP hard problem for multiple unmanned aerial vehicle systems (UAVs).
However, most studies in multiple UAV control focus on control cooperative path planning in a single swarm, while dynamic deployment of a multiswarm system is neglected.
This paper proposes a collective control scheme to drive a multiswarm UAVs system to spread out over a time-sensible environment to provide persistent adaptive sensor coverage in event-related surveillance scenarios.
We design the digital turf model to approximate the mixture information of mission requirements and surveillance reward.
Moreover, we design a data clustering-based algorithm for the dynamic assignment of UAV swarms, which can promote workload balance, while also allowing real-time response to emergencies.
Finally, we evaluate the proposed architecture by means of simulation and find that our method is superior to the conventional control strategy in terms of detection efficiency and subswarm equilibrium degree.
American Psychological Association (APA)
Jing, Tian& Wang, Weiping& Wang, Tao& Li, Xiaobo& Zhou, Xin. 2019. Dynamic Control Scheme of Multiswarm Persistent Surveillance in a Changing Environment. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1129514
Modern Language Association (MLA)
Jing, Tian…[et al.]. Dynamic Control Scheme of Multiswarm Persistent Surveillance in a Changing Environment. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1129514
American Medical Association (AMA)
Jing, Tian& Wang, Weiping& Wang, Tao& Li, Xiaobo& Zhou, Xin. Dynamic Control Scheme of Multiswarm Persistent Surveillance in a Changing Environment. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1129514
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129514